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Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19)
BACKGROUND: Due to the SARS-CoV-2 pandemic, public health interventions have been introduced globally in order to prevent the spread of the virus and avoid the overload of health care systems, especially for the most severely affected patients. Scientific studies to date have focused primarily on de...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324773/ https://www.ncbi.nlm.nih.gov/pubmed/32605549 http://dx.doi.org/10.1186/s12889-020-09164-9 |
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author | Radon, Katja Saathoff, Elmar Pritsch, Michael Guggenbühl Noller, Jessica Michelle Kroidl, Inge Olbrich, Laura Thiel, Verena Diefenbach, Max Riess, Friedrich Forster, Felix Theis, Fabian Wieser, Andreas Hoelscher, Michael |
author_facet | Radon, Katja Saathoff, Elmar Pritsch, Michael Guggenbühl Noller, Jessica Michelle Kroidl, Inge Olbrich, Laura Thiel, Verena Diefenbach, Max Riess, Friedrich Forster, Felix Theis, Fabian Wieser, Andreas Hoelscher, Michael |
author_sort | Radon, Katja |
collection | PubMed |
description | BACKGROUND: Due to the SARS-CoV-2 pandemic, public health interventions have been introduced globally in order to prevent the spread of the virus and avoid the overload of health care systems, especially for the most severely affected patients. Scientific studies to date have focused primarily on describing the clinical course of patients, identifying treatment options and developing vaccines. In Germany, as in many other regions, current tests for SARS-CoV2 are not conducted on a representative basis and in a longitudinal design. Furthermore, knowledge about the immune status of the population is lacking. Nonetheless, these data are needed to understand the dynamics of the pandemic and hence to appropriately design and evaluate interventions. For this purpose, we recently started a prospective population-based cohort in Munich, Germany, with the aim to develop a better understanding of the state and dynamics of the pandemic. METHODS: In 100 out of 755 randomly selected constituencies, 3000 Munich households are identified via random route and offered enrollment into the study. All household members are asked to complete a baseline questionnaire and subjects ≥14 years of age are asked to provide a venous blood sample of ≤3 ml for the determination of SARS-CoV-2 IgG/IgA status. The residual plasma and the blood pellet are preserved for later genetic and molecular biological investigations. For twelve months, each household member is asked to keep a diary of daily symptoms, whereabouts and contacts via WebApp. If symptoms suggestive for COVID-19 are reported, family members, including children < 14 years, are offered a pharyngeal swab taken at the Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, for molecular testing for SARS-CoV-2. In case of severe symptoms, participants will be transferred to a Munich hospital. For one year, the study teams re-visits the households for blood sampling every six weeks. DISCUSSION: With the planned study we will establish a reliable epidemiological tool to improve the understanding of the spread of SARS-CoV-2 and to better assess the effectiveness of public health measures as well as their socio-economic effects. This will support policy makers in managing the epidemic based on scientific evidence. |
format | Online Article Text |
id | pubmed-7324773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73247732020-06-30 Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) Radon, Katja Saathoff, Elmar Pritsch, Michael Guggenbühl Noller, Jessica Michelle Kroidl, Inge Olbrich, Laura Thiel, Verena Diefenbach, Max Riess, Friedrich Forster, Felix Theis, Fabian Wieser, Andreas Hoelscher, Michael BMC Public Health Study Protocol BACKGROUND: Due to the SARS-CoV-2 pandemic, public health interventions have been introduced globally in order to prevent the spread of the virus and avoid the overload of health care systems, especially for the most severely affected patients. Scientific studies to date have focused primarily on describing the clinical course of patients, identifying treatment options and developing vaccines. In Germany, as in many other regions, current tests for SARS-CoV2 are not conducted on a representative basis and in a longitudinal design. Furthermore, knowledge about the immune status of the population is lacking. Nonetheless, these data are needed to understand the dynamics of the pandemic and hence to appropriately design and evaluate interventions. For this purpose, we recently started a prospective population-based cohort in Munich, Germany, with the aim to develop a better understanding of the state and dynamics of the pandemic. METHODS: In 100 out of 755 randomly selected constituencies, 3000 Munich households are identified via random route and offered enrollment into the study. All household members are asked to complete a baseline questionnaire and subjects ≥14 years of age are asked to provide a venous blood sample of ≤3 ml for the determination of SARS-CoV-2 IgG/IgA status. The residual plasma and the blood pellet are preserved for later genetic and molecular biological investigations. For twelve months, each household member is asked to keep a diary of daily symptoms, whereabouts and contacts via WebApp. If symptoms suggestive for COVID-19 are reported, family members, including children < 14 years, are offered a pharyngeal swab taken at the Division of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich, for molecular testing for SARS-CoV-2. In case of severe symptoms, participants will be transferred to a Munich hospital. For one year, the study teams re-visits the households for blood sampling every six weeks. DISCUSSION: With the planned study we will establish a reliable epidemiological tool to improve the understanding of the spread of SARS-CoV-2 and to better assess the effectiveness of public health measures as well as their socio-economic effects. This will support policy makers in managing the epidemic based on scientific evidence. BioMed Central 2020-06-30 /pmc/articles/PMC7324773/ /pubmed/32605549 http://dx.doi.org/10.1186/s12889-020-09164-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Radon, Katja Saathoff, Elmar Pritsch, Michael Guggenbühl Noller, Jessica Michelle Kroidl, Inge Olbrich, Laura Thiel, Verena Diefenbach, Max Riess, Friedrich Forster, Felix Theis, Fabian Wieser, Andreas Hoelscher, Michael Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title | Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title_full | Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title_fullStr | Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title_full_unstemmed | Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title_short | Protocol of a population-based prospective COVID-19 cohort study Munich, Germany (KoCo19) |
title_sort | protocol of a population-based prospective covid-19 cohort study munich, germany (koco19) |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324773/ https://www.ncbi.nlm.nih.gov/pubmed/32605549 http://dx.doi.org/10.1186/s12889-020-09164-9 |
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